Gemini Omni Flash vs Grok Imagine Video 1.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Gemini Omni Flash dari Google dan Grok Imagine Video 1.5 dari xAI adalah dua model AI unggulan. Gemini Omni Flash menawarkan jendela konteks 1.05M token dengan harga $2.00/$15.00 per 1 juta token, sedangkan Grok Imagine Video 1.5 menyediakan konteks 1K token seharga $5.00/$20.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
Ganti & Bandingkan Model Apa Saja
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
Gemini Omni Flash
Model Generasi Video AIGemini Omni Flash dari Google adalah model AI yang dirancang untuk pembuatan video sinematik AI dan sintesis gerakan yang mulus, menghadirkan jendela konteks 1.0M, kecepatan 75 token/detik, indeks kecerdasan 86/100, serta tarif $2/$15 per 1
$2.00 / 1M
$15.00 / 1M
1.05M tokens
N/A
Grok Imagine Video 1.5
Model Generasi Gambar AIGrok Imagine Video 1.5 dari xAI adalah model AI yang dirancang untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, menghadirkan jendela konteks 1K, kecepatan 24 token/detik, indeks kecerdasan 55/100, s
$5.00 / 1M
$20.00 / 1M
1K tokens
N/A
Perbedaan Utama Sekilas
- Gemini Omni Flash is 1.7x cheaper for API usage (input + output tokens combined).
- Gemini Omni Flash has a larger context window (1M vs 1K tokens).
- Gemini Omni Flash is faster at 75 tok/s vs 24 tok/s.
| Feature | Gemini Omni Flash | Grok Imagine Video 1.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 86 | 55 |
Provider | xAI | |
Input Price Cost per million input tokens | $2.00 / 1M | $5.00 / 1M |
Output Price Cost per million output tokens | $15.00 / 1M | $20.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $2.25 / 1M | $4.75 / 1M |
Context Window Maximum input + output tokens | 1.05M tokens~1,573 A4 pages of text | 1K tokens~2 A4 pages of text |
Max Output Tokens Per single request | 33K | 1K |
Throughput Speed Tokens generated per second | 75 tok/s | 24 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
Cached Input Price Prompt caching discount per 1M tokens | $0.50 / 1M | $2.50 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkEvaluations ongoing
Skor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Tokens emitted per second during active generation streaming.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Gemini Omni Flash · Strengths & Key Advantages
- Jendela konteks 1.0M dengan kapasitas output maksimum hingga 33K token (Arena Elo 1440)
- Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 800 ms
- Skema harga API kompetitif (tarif $2/$15 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya
Grok Imagine Video 1.5 · Strengths & Key Advantages
- Jendela konteks 1K dengan kapasitas output maksimum hingga 1K token (Arena Elo 1250)
- Kecepatan generasi tinggi 24 token/detik dengan latensi token pertama (TTFT) hanya 4500 ms
- Skema harga API kompetitif (tarif $5/$20 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Gemini Omni Flash | Grok Imagine Video 1.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $1.50 | $0.15 |
Output Tokens / Task Tokens generated per task | 15K | 1K |
Reasoning Tokens / Task Thinking tokens burned per task | 4K | 0K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Gemini Omni Flash | Grok Imagine Video 1.5 |
|---|---|---|
| Official API Model ID (SDK) | models/gemini-omni-flash | grok-imagine-video-1-5-latest |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | xAI REST API (OpenAI-Compatible) |
| Release Date | 2026-06 | 2026-05 |
| Knowledge Cutoff | February 2026 | March 2026 |
| Architecture | Unified real-time text-to-video and conversational streaming engine | Diffusion-Transformer Hybrid (DiT) |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Flat rate ($5/1M in) across full 1K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0.5/1M with configurable TTL | Cached input at $2.5/1M tokens |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Text-only completion (No GUI action loop) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Prompt-based JSON extraction only |
| Web Search Grounding & Sandbox | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Real-time Web & X (Twitter) Search Grounding + Code Execution |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | API Prompt Engineering & RAG Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) |
| Quantization & Min GPU VRAM | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Google DeepMind Frontier Safety Framework Verified | xAI Production Safety & Alignment Verified |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision | text, vision |
| Output Modalities | video | video |
Gemini Omni Flash vs Grok Imagine Video 1.5: Jawaban Cepat (FAQ)
Which is more intelligent, Gemini Omni Flash or Grok Imagine Video 1.5?
Gemini Omni Flash is more intelligent. It scores 86 compared with 55 on the composite Intelligence Index.
Which model is faster?
Gemini Omni Flash is faster, generating 75 tokens per second compared with 24 tokens per second.
Which model is cheaper to run?
Gemini Omni Flash is cheaper at $2.25 per 1M tokens blended, compared with $4.75 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Gemini Omni Flash has lower latency, with a time to first token of 0.80s compared with 4.50s.
Which model has a larger context window?
Gemini Omni Flash has a larger context window, supporting 1.05M tokens compared with 1K tokens.
Kesimpulan
Baik Gemini Omni Flash (Sangat cocok untuk pembuatan video sinematik AI dan sintesis gerakan yang mulus, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Grok Imagine Video 1.5 (Sangat cocok untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemini Omni Flash unggul dalam penalaran dan pemrograman, Gemini Omni Flash memberikan kecepatan generasi token lebih tinggi, dan Gemini Omni Flash lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Gemini Omni Flash atau Grok Imagine Video 1.5?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini Omni Flash memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Gemini Omni Flash vs Grok Imagine Video 1.5?+
Gemini Omni Flash mengenakan biaya $2.00 / $15.00 per 1M token input/output, sedangkan Grok Imagine Video 1.5 sebesar $5.00 / $20.00. Secara keseluruhan, Gemini Omni Flash lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Gemini Omni Flash mendukung konteks 1.05M token dibandingkan 1K token pada Grok Imagine Video 1.5, sementara Gemini Omni Flash unggul dalam kecepatan output token per detik.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- Gemini Omni Flash vs Veo 3.1: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Veo 2 vs Grok Imagine Video 1.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Veo 3.1 vs Grok Imagine Video 1.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Veo 3 vs Grok Imagine Video 1.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Aion-3.0 vs Aion-Mini: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Aion-3.0 vs Gemini 3.6 Flash: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
Sumber resmi: Dokumentasi API resmi Google & xAI serta evaluasi benchmark independen (2026).